🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

Public issue/request tracking for the Command: Modern Operations database

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

zhaoolee的笔记本兼图床

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Reading list for research topics in multimodal machine learning

Evolutionary algorithm toolbox and framework with high performance for Python

Fuzzy Logic SciKit (Toolkit for SciPy)

Fuzzy Logic and Fuzzy Inference for Python 3

Paralle Acceleration for AMBER on Tianhe-2

A comprehensive toolbox for deep learning-based multi-omics data analysis

The first GANs-based omics-to-omics translation framework

A conda-forge distribution.

Public facing deeplift repo

An interpretable deep learning model for cancer classification using high-dimensional omics data

A tool to estimate Instantaneous Reproduction Number

A Collection of Variational Autoencoders (VAE) in PyTorch.

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

Multi-task deep learning framework for multi-omics data analysis

DeepSurv is a deep learning approach to survival analysis.

Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

This is a companion repository for the article "Comparative analysis of machine learning classifiers and calibration algorithms for estimating class probabilities for personalized cancer diagnostic…

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

Image-to-Image Translation in PyTorch

DualGAN-tensorflow: tensorflow implementation of DualGAN

End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.